# TMLab SRPOL at SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums

Source: [TMLab SRPOL at SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums](<https://www.sota2.com/research/paper/68fa65d71e209131cea0ca85>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-25T21:36:37.771Z

Authors: Piotr Niewinski, Aleksander Wawer, Maria Pszona, Maria Janicka

Published: 2019-05-29T09:31:26.000Z

## Abstract

The article describes our submission to SemEval 2019 Task 8 on Fact-Checking in Community Forums. The systems under discussion participated in Subtask A: decide whether a question asks for factual information, opinion/advice or is just socializing. Our primary submission was ranked as the second one among all participants in the official evaluation phase. The article presents our primary solution: Deeply Regularized Residual Neural Network (DRR NN) with Universal Sentence Encoder embeddings. This is followed by a description of two contrastive solutions based on ensemble methods.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/1906.01515>)

[PDF](<https://arxiv.org/pdf/1906.01515.pdf>)